This is an execution file in Fortran 90. 
Example data set, pv.txt, is available.
Download the program and example data set and run on your PC.

Input : a p-value data set, named by pv.txt, number of observations (p-values), 
        bootstrap size, and CWER level.
Example data set : a set of p-values used in the paper with 540 observations.
To run: bims (output to screen, which will be directed to a file).

Please notify any problem to Dr. C-A Tsai (870-543-7214.

EXAMPLE : 

####PLEASE BE SURE TO HAVE A P-VALUE FILE, pv.txt, ON THE SAME DIRECTORY####
	 
PLEASE INPUT THE TOTAL NO. OF HYPOTHESES,M= "your input"

PLEASE INPUT THE BOOTSTRAP SIZE,(SUGGSTION : B=2000) "your input" 
  
PLEASE INPUT CWER LEVEL, ALPHA= "your input"
                   

 TITLE     : Estimation of the False Discovery Rates in Multiple Testing:
                  Application to Gene Microarray Data
 AUTHORS   : Tsai, Hsueh and Chen
 JOURNAL   : Biometrics, 2003
 AUTHOR OF THE PROGRAM : DR. C.-A. TSAI.


 SUMMARY OF ANALYSIS


 M                        =         540    ALPHA=  5.9999999E-02
 NO. OF REJECTIONS,     R =         116
 THE MD ESTIMATE, HAT{M0} =         489
 POWER ESTIMATE,   1-BETA =  0.9816898    



 ####### Bootstrapping method ##############, BOOTSTRAP SIZE=        2000
 eFDR estimate=  0.2526873    
 FDR  estimate=  0.2529404    
 pFDR estimate=  0.2529404    
 cFDR estimate=  0.2529310    
 mFDR estimate=  0.2544469    

 ####### Parametric method ################
 eFDR estimate=  0.3694927    
 FDR  estimate=  0.3667813    
 pFDR estimate=  0.3667813    
 cFDR estimate=  0.5636266    
 mFDR estimate=  0.2529310    

--------------------------------------------------------------------



0.6527072
0.950404
0.0091597829
0.211959
0.2173598
0.022117181
0.9387563
0.06612476
0.0088078938
0.4206875
0.8223006
0.039729819
0.029682094
0.0068262154
0.089868642
0.075224318
0.012007892
0.2419122
3.3987955e-05
0.5404149
0.00068401487
0.3806625
0.6085409
0.6222296
0.880648
0.2832379
0.7310807
0.3218176
0.060817741
0.012979142
0.046582446
0.6077666
0.7704115
0.1063922
0.2900825
0.1347559
0.7859587
0.6980487
0.8972915
0.089246243
0.5292611
0.0039999099
0.017109467
0.4559531
0.386152
0.6216983
0.6251084
0.6811154
0.040705618
0.2545516
0.8387273
0.9855121
0.2208201
0.2424704
0.8357391
0.6720576
0.5054669
0.1737544
0.085048996
0.029269809
0.0081948284
0.027931044
0.031402711
0.00069031108
0.3485574
0.0048146881
0.4006439
0.1388063
0.2696183
0.09901274
0.3828298
0.6954969
0.9645897
0.4699864
0.9432337
0.4548252
0.6848375
0.8634746
0.9076136
0.2673888
0.0017397985
0.025566578
0.4989169
0.6295926
0.6051642
0.8937219
0.9695055
0.013762323
0.5564426
0.6556101
0.086764134
0.7339332
0.9299674
0.092173055
0.099817261
0.7024344
0.4860782
0.2844965
0.078093767
0.9989145
0.059874825
0.2115819
0.6274291
0.057614364
0.6774232
0.8328688
0.2338088
0.049001243
0.9750151
0.6366752
0.8003295
0.7881988
0.5565125
0.8953499
0.2925902
3.4804132e-05
0.4168612
0.5237143
0.4388418
0.2569974
0.3537186
0.046090405
0.054864544
0.2394755
0.8593642
0.4789749
0.8153539
0.020099474
0.7163282
0.0063094585
0.00010487878
0.9322594
0.5120417
0.3226478
0.0053049773
0.7374886
0.3471145
0.7866402
0.50043
0.2045671
0.670377
0.3742819
0.6883739
0.2837011
0.6446615
0.2010707
0.9691897
6.2320963e-05
0.196801
0.088310093
0.9173412
0.017379388
0.6248065
0.4218409
0.0036000998
0.3134844
0.9153403
0.037251554
0.6995689
0.9297105
0.4424666
0.8267197
0.9229804
0.455062
0.093749098
0.3946603
0.3564293
0.3184698
0.9942327
0.5020474
0.1718376
0.8697446
0.0014676617
0.5278794
0.5439195
0.1877555
0.6265227
0.4510377
0.267706
0.4569171
0.2695329
0.5680476
0.014640996
0.9577044
0.092366725
0.095899954
0.4020819
0.1157152
0.2739558
0.8304271
0.9946097
0.5272546
2.0112941e-05
0.6578475
0.9460197
0.3664329
0.9159734
0.9526836
0.9997983
0.9243097
0.4075303
0.520874
0.167836
0.032551307
0.4516937
0.775896
0.7265704
0.8720715
0.9872149
0.2899426
0.5912247
0.6023756
0.7922389
0.053987272
0.7863284
0.8831314
0.7294061
0.9804481
0.7380868
0.2627843
0.9828006
0.043060638
0.7406842
0.5865402
0.6379986
0.1525267
0.8445799
0.9800277
0.1625054
0.3410196
0.1783913
0.9039428
0.72879
0.2188405
0.1226927
0.3537889
0.3769611
0.9046037
0.8979846
0.5170841
0.5580121
0.6926926
0.319643
0.050729558
0.3589617
0.3541176
0.6954945
0.1876966
0.241571
0.029711593
0.5031653
0.6329718
0.1731321
0.3058183
0.1191035
0.458295
0.005453405
0.3625002
0.1226934
0.3408946
0.4770136
0.5797644
0.548261
0.7305883
0.6663907
0.7360079
0.046105798
0.4937464
0.9486464
0.1744681
0.012544353
0.3049645
0.2357182
0.020746119
0.056980778
0.3322977
0.8205963
0.4836555
0.6404813
0.6512268
0.3568341
0.095014058
0.3402904
0.386967
0.6301443
0.1031349
0.81685
0.8207274
0.044373985
0.1094808
0.7952141
0.4860543
7.7478544e-05
7.3980642e-05
0.025895964
0.4334581
0.2292044
0.6645267
0.5920111
0.7488398
0.1578905
0.02056038
0.9926062
0.4193975
0.1368112
0.1674512
0.040847048
0.008863627
0.1128397
0.7853336
0.2630517
0.040122636
0.9148892
0.02860136
0.035087638
0.4048369
0.3444672
0.1865227
0.7973223
0.3458847
0.5948356
0.445176
0.5750288
0.1976607
0.09853854
0.7006766
0.7374769
0.6357782
0.3484041
0.1317909
0.00081961689
0.068330653
0.7889081
0.7585872
0.7296396
0.7948664
0.9076415
0.9624245
0.4260421
0.048734006
0.2969915
0.246331
0.2907373
0.1091696
0.1140499
0.6273505
0.5018837
0.1228856
0.3554831
0.0043368745
0.6216779
0.9323249
0.7356091
0.200257
0.3652631
0.1410996
0.059406105
0.4734431
0.2529459
0.2194407
0.7077359
0.3611009
0.2379344
0.0028477008
0.7451767
0.1943967
0.3981493
2.9790472e-05
0.7834434
0.6550664
0.091266051
0.9681292
0.7472553
0.064975701
0.614513
0.7163113
0.4428008
0.8494295
0.7293151
0.015538558
0.1283677
0.3475932
0.5237671
0.6405577
0.7104783
0.6603056
0.1063221
0.012785359
0.2422323
0.044777527
0.773804
0.049018849
0.2136898
0.9161536
0.745011
0.1744549
0.9243845
0.7912396
0.2401645
0.3598702
0.1353563
0.2164357
0.0018975539
0.07237155
0.743328
0.2026635
0.03332749
3.7952243e-05
0.05144896
0.8544228
0.8059376
0.053970948
0.089432977
0.3582122
0.02306453
0.093483835
0.4966689
0.2782404
0.5828598
0.001605479
0.6305786
0.6143064
0.6884217
0.7622475
0.7194332
0.0098534171
0.6842303
0.067392632
0.6239111
0.8063259
0.002491731
0.0034747582
0.0037080683
0.030065348
0.9109782
0.281185
0.047767065
0.047602434
0.094966486
0.2992709
0.3972092
0.3526872
0.1513917
0.7665307
0.5138294
0.4077148
0.0026319968
0.3463072
0.0061492547
0.108637
0.8389142
0.9217611
0.9509361
0.2126971
0.4087797
0.6482855
0.6494508
0.076647036
0.077770792
0.010790855
0.2935136
0.030372696
0.016966518
0.1223607
0.1618337
0.9782836
0.004038387
0.3389465
0.577317
0.6982612
0.040449455
0.0070099719
0.1643901
0.035947304
0.058870111
3.9701194e-05
0.8260833
0.00088875875
0.6310446
0.6814032
0.885852
0.1688643
0.0026416744
0.010513937
9.8815748e-05
0.6766545
0.4213484
0.7027704
0.3939506
0.06382139
0.1423382
0.4448904
0.028560316
0.0084605524
0.059418231
0.3112277
0.1553322
0.4292524
0.6316395
0.1050626
0.0041949763
0.013630569
0.601041
0.2262607
0.3044132
0.2230632
0.046409298
0.021110484
0.056391031
3.4104552e-05
0.051549233
0.5018766
0.4557409
0.6430693
0.0043741856
0.3504736
0.4132012
0.660008
0.070835151
0.021288177
0.9786007
0.4798115
0.7127048
0.089026928
0.0032187118
0.021089263
0.9051483
0.019423679
0.206058
0.5095596
0.082472093
0.064704843
0.7622916
0.8928376
0.2042925
0.4213356
0.1893453
0.4576768
0.043674637
0.013947246